Articles | Volume 4, issue 1
SOIL, 4, 1–22, 2018
https://doi.org/10.5194/soil-4-1-2018
SOIL, 4, 1–22, 2018
https://doi.org/10.5194/soil-4-1-2018
Original research article
10 Jan 2018
Original research article | 10 Jan 2018

Evaluation of digital soil mapping approaches with large sets of environmental covariates

Madlene Nussbaum et al.

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Cited articles

Adhikari, K., Kheir, R., Greve, M., Bøcher, P., Malone, B., Minasny, B., McBratney, A., and Greve, M.: High-resolution 3-D mapping of soil texture in Denmark, Soil Sci. Soc. Am. J., 77, 860–876, https://doi.org/10.2136/sssaj2012.0275, 2013.
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Short summary
This paper presents an extensive evaluation of digital soil mapping (DSM) tools. Recently, large sets of environmental covariates (e.g. from analysis of terrain on multiple scales) have become more common for DSM. Many DSM studies, however, only compared DSM methods using less than 30 covariates or tested approaches on few responses. We built DSM models from 300–500 covariates using six approaches that are either popular in DSM or promising for large covariate sets.